IBM SPSS
IBM SPSS is a predictive analytics suite for enterprises.
π¨ IBM SPSS has been discontinued
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IBM SPSS Alternatives [Page 4]
The best IBM SPSS alternatives based on verified products, community votes, reviews and other factors.
Latest update:
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dotData is a data automation platform that enables enterprises to operationalize data science and machine learning.
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Analysis Studio is an intuitive statistical and data mining tool that includes automated regression modeling methods for gaining a high level of accuracy and
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Protect your brand. Register your trademark. Free verification. Simple online process. Transparent price. Money back guarantee.
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Statgraphics Centurion is a powerful and comprehensive statistical analysis package that lets you quickly perform a wide range of statistical procedures.
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TetraScience is an R&D data cloud platform that enables scientists to collect, store, analyze, and share data around the world.
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As the foundation for SAS Analytics, SAS/STAT provides state-of-the-art statistical analysis software that empowers you to make new discoveries.
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Sigma Magic software is an easy to use Excel based analysis software for a wide range of applications in analytics, lean, project management, six sigma, change management and graphical analysis. It is comprehensive analysis as simple as it gets.
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PSPP is a free software application for analysis of sampled data.
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It is a cloud based statistical software for beginners and business users.
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ServerMonitoring.me provides a completely free server monitoring tool for Linux and Windows servers. Simply install agent on CentOS, Ubuntu, Debian!
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TIBCO Statisticaβ’, now part of TIBCO Data Science, is a comprehensive and open advanced-analytics platform that helps businesses automate routine tasks and scale analytics.
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Anaconda is the leading open data science platform powered by Python.
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Minitab helps businesses increase efficiency and improve quality through smart data analysis.
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IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.